Abstract
In this study, a numerical simulation is performed to produce wave hindcasting data from 2007 to 2018 for the assessment of wave energy resources in the sea waters of Korea. The hindcasting data are obtained with a relatively fine spatial resolution of 1/20° covering 120–150 °E longitude and 22.4–47.6 °N latitude using the Simulating WAves Nearshore wave model (SWAN). Three different wind fields, those of the European Centre for Medium-Range Weather (ECMWF), National Centers for Environmental Prediction (NCEP), and Japan Meteorological Agency (JMA), are used for the numerical wave simulation. It is observed that the wind field dataset of JMA exhibits the best agreement with available field observation data. For this reason, the wave energy resources are evaluated based on the data hindcasted using the JMA wind field. It is found that the overall magnitudes of wave energy are larger in winter than in summer. The wave energy in August, however, is comparable to the mean wave energy during winter because of the influence of frequent high wave events caused by typhoons. The highest monthly average wave power around Yellow Sea, South Sea, East Sea, and Jeju Island are 13.3, 18.2, 13.7, and 40 kW/m, respectively.
Highlights
The regulations on the use of fossil fuels have been made more stringent because of worsening global warming and pollution
Three wind products using the three wind datasets of the European Centre for Medium-Range Weather Forecasts (ECMWF), National Centers for Environmental Prediction (NCEP), and Japan Meteorological Agency (JMA) are evaluated for wave hindcasting
It is advantageous to use wave data observed over a period of at least 10 years to determine the wave power generation in a particular location
Summary
The regulations on the use of fossil fuels have been made more stringent because of worsening global warming and pollution. An alternative approach to understand wave characteristics in specific regions is hindcasting This technique employs wave models by which previous wave conditions have been represented and improved through comparisons with observational data. Wave energy distributions have been hindcasted using SWAN in the Persian Gulf [4], coastal regions of Portugal [5], and Iroise coasts of France [6] The analyses in these studies are similar except for differences in the applied wind fields and hindcast durations. The use of SWAN for hindcasting in this region is proposed in this paper Another main objective of this study is to evaluate the wind fields used for wave forcing. Only the wave energy was previously evaluated in [10], the distributions of other wave parameters, such as wave height, period, and direction, are calculated in this study to increase the quantity of available data for researchers and other potential users
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
